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Results:

• 1. programme2---PhD-Workshop-preceding-Adaptation-Research-Conference

  During the conference all of you are requested to act as rapporteur in two or three sessions. A preliminary allocation of rapporteur sessions has been made (see below), while accounting for your expertise in certain areas. Participants can suggest changes in the rapporteur session allocation, on the condition a convincing argumentation is provided as well as a confirmed alternative rapporteur /media/loftslag/programme2---PhD-Workshop-preceding-Adaptation-Research-Conference.pdf

• 2. Avalanche dams

  ofan byggðarinnar. (Náttúrufræðingurinn, 69, 1, 3−10, 1999, authors T. Jóhannesson, O. Pétursson, J. G. Egilsson and G. G. Tómassson) [abstract] (html) A map on a selected front page shows recent observations of avalanches. For user access to avalanche and landslide data, an avalanche map viewer is available /avalanches/imo/dams/

• 3. hafisskyrsla_11052011

  Eins og sjá má af meðfylgjandi korti er ísinn næst landi um 77 sjml NNV af Straumnesi, 82 sjml NV af Horni, og 146 sjml N af Skaga. Ekki var unnt að greina ísinn vel sökum lágskýja, en útbreiðsla sést vel á SLAR myndum, sem og á eftirlitsratsjá. Ísdreifar voru að sjá á ratsjá um 1-2 sjómílur frá megin ísröndinni. Gunnar Örn Arnarson Yfirstýrimaður TF-SIF /media/hafis/skyrslur_lhg/hafisskyrsla_11052011.pdf

• 4. Refsgaard_1-Welcome

  – Print yourselves • Case descriptions and tasks/questions • Lecturers’ presentations – Handouts during the week – Pdfs will be uploaded at website afterwards Practicalities • PC login – Internet access • Printing • Lunch • Coffee – tea • Posters Monday afternoon + refreshments • Dinner Tuesday at 19:00 Students • Brief presentation round – now • 2-minutes presentation of research topics /media/loftslag/Refsgaard_1-Welcome.pdf

• 5. VI_2022_006_extreme

  77 91 109 Hraunaveita 132 116 136 159 117 140 169 Kvíslaveita 48 42 49 58 42 51 61 Sultartangi 66 57 68 80 58 69 84 Þingvallavatn 96 84 99 117 85 102 123 Þórisvatn 47 41 49 57 42 50 60 Tungnaá 76 67 79 92 67 80 98 Ufsarlón 104 92 108 126 93 112 134 36 Figure 19 – 1M5 maps for catchment Hálslón based on the ICRA dataset without projection (top left), with RCP 2.6 and 10th percentile /media/vedurstofan-utgafa-2022/VI_2022_006_extreme.pdf

• 6. CES_D2.4_task2_CMIP3_winds

  in the average wind speed between the baseline (or control) period 1971-2000 and the scenario period 2046-2065. These periods were chosen based on the availability of model output at daily time resolution. We have analyzed the surface geostrophic wind (hereafter Vg) rather than the actual simulated surface winds, because the latter are sensitive to the details of the boundary layer /media/ces/CES_D2.4_task2_CMIP3_winds.pdf

• 7. CES_D2.4_task1

  1 Abstract The operational description of climate has been traditionally based on past observations, using a 30-year normal period such as 1961-1990. In a world with ongoing anthropogenic climate change, however, past data give a potentially biased estimate of the actual present-day and near-future climate. Here we attempt to correct this bias with a “delta change” method, in which /media/ces/CES_D2.4_task1.pdf

• 8. VI_2020_008

  by the Peak-over-Threshold with MLE applied on daily and 24-hour accumulated precipitation from the ICRA. ............................... 58 8 Glossary 1M5 – Daily or 24-hour precipitation return level with a 5-year return period AMS – Annual Maxima Series CC – Closeness Coefficient CDO – Climate Data Operator EVA – Extreme Value Analysis GP – Generalized Pareto ICRA – Icelandic /media/vedurstofan-utgafa-2020/VI_2020_008.pdf

• 9. Traffc-maintenance_expenditures

  229 1 587 160 1970 18 591 42 413 2 166 86 101 - 892 5 131 2 310 201 - - - 157 805 1 652 904 1969 17 559 38 840 2 313 93 776 - 922 4 562 1 571 - - - - 159 543 1 832 354 1968 13 474 36 376 3 074 104 519 - 1 080 4 131 1 156 - - - - 163 811 1 964 368 1967 11 139 34 495 5 940 95 857 - 419 3 032 1 087 - - - - 151 968 1 936 249 1966 9 835 32 581 8 349 94 777 - 587 4 205 1 743 - - - - 152 077 2 032 936 /media/loftslag/Traffc-maintenance_expenditures.pdf

• 10. BIGJ_windrose_2005-2014

  1 2 1 1 Wind rose BIGJ April 2005−2014 90 80 70 60 50 40 30 2010360350340 330 320 310 300 290 280 270 260 250 240 230 220 210 200 190 180 170 160 150 140 130 120 110 100 2 4 6 8 10 Frequency of wind direction (%) Aerodrome Total observations: 114 Calm: 0.88% Variable winds: 0% Average wind speed for wind direction Wind direction (°) Wind speed (knots ) 0 5 10 15 0 45 90 135 180 225 270 315 /media/vedur/BIGJ_windrose_2005-2014.pdf